--- license: mit language: en tags: - adverse-drug-events - twitter - social-media-mining-for-health - SMM4H widget: - text: "Did the patient suffer from a side effect?: weird thing about paxil: feeling fully awake and energized and feeling completely tired and half-asleep at the same time" example_title: "Adverse Drug Event Extraction" --- ## t2t-adeX-prompt t2t-adeX-prompt is a text-to-text (**t2t**) adverse drug event (**ade**) e**x**traction model trained with **prompt**ing English tweets reporting adverse drug events. It is trained as part of BOUN-TABI system for the Social Media Mining for Health (SMM4H) 2022 shared task. The system description paper has been accepted for publication in *Proceedings of the Seventh Social Media Mining for Health (#SMM4H) Workshop and Shared Task* and will be available soon. The source code has been released on GitHub at [https://github.com/gokceuludogan/boun-tabi-smm4h22](https://github.com/gokceuludogan/boun-tabi-smm4h22). The model utilizes the T5 model and its text-to-text formulation. The inputs are fed to the model with the prompt *"Did the patient suffer from a side effect?"* while the outputs use the template *"Yes, the patient suffered from \"*. ## Requirements ``` sentencepiece transformers ``` ## Usage ```python from transformers import pipeline, AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("gokceuludogan/t2t-adeX-prompt") model = AutoModelForSeq2SeqLM.from_pretrained("gokceuludogan/t2t-adeX-prompt") predictor = pipeline("text2text-generation", model=model, tokenizer=tokenizer) predictor("Did the patient suffer from a side effect?: weird thing about paxil: feeling fully energized and feeling completely tired at the same time") ``` ## Citation ```bibtex @inproceedings{uludogan-gokce-yirmibesoglu-zeynep-2022-boun-tabi-smm4h22, title = "{BOUN}-{TABI}@{SMM4H}'22: Text-to-{T}ext {A}dverse {D}rug {E}vent {E}xtraction with {D}ata {B}alancing and {P}rompting", author = "Uludo{\u{g}}an, G{\"{o}}k{\c{c}}e and Yirmibe{\c{s}}o{\u{g}}lu, Zeynep", booktitle = "Proceedings of the Seventh Social Media Mining for Health ({\#}SMM4H) Workshop and Shared Task", year = "2022", } ```